Senova Ready-to-Buy Groups
Find people ready to buy

Reach People Ready to Buy

Stop paying for people who are not looking. Reach people actively searching, with segments that reprocess and refresh every 24 hours.

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Starting at
$1,497/mo

Every tier includes 24-hour segment refreshes.

Privacy-safe data activation with compliance-first positioning.
Cancel or upgrade anytime with transparent pricing.
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Who it's for

For teams that need clear buying interest.

Teams that sell to people
  • Reach people searching for your service.
  • Segments refresh every 24 hours.
Teams that sell to businesses
  • See which companies show interest.
  • Use groups in your outreach.
Agencies and consultants
  • Deliver ready-to-buy groups for clients.
  • Use consistent groups across accounts.
What you get

Ready-to-buy groups you can use right away.

Groups built from search and content interest.
Promoted segments reprocess and refresh every 24 hours (up to 48 hours for highly niche audiences on initial build).
Works for both people and business buyers.
Use in online ads or export where supported.
Privacy-safe handling.
How it works

From topic to group in three steps.

Step 1
Pick topics

Choose the keywords or categories that matter to you.

Step 2
We build the group

We build and check the group for fit.

Step 3
Use it

Run ads with it or export to your tools.

Pricing

Ready-to-buy groups sized to your needs.

Every tier includes 24-hour segment refreshes.

Compare all pricing
FAQ

Ready-to-Buy Groups FAQs

Can I use these groups in online ads?

Yes. Run ads with them or export where supported.

Do you support business and consumer targeting?

Yes. We can include company context when available.

How often are audiences refreshed?

Promoted segments reprocess and refresh every 24 hours. Highly niche audiences can take up to 48 hours on the initial build.

Ready to launch

Reach people ready to buy.

Choose a tier and start building groups for your market.

  • Works for people and business buyers
  • 24-hour refresh keeps groups current
  • Privacy-safe handling
Privacy-safe dataConsent-forward workflowsTransparent pricing
Understanding Intent Data

What Are Intent Audiences?

Get lists of real people who are actively researching right now

An intent audience is a list of real people who are actively researching a specific topic RIGHT NOW. These are not random people. They are people who suddenly started looking up information about something you sell.

We track over 200 billion URLs across the internet. We see what people are reading, what they're searching for, and what they're clicking. When someone suddenly starts researching a topic way more than normal, we flag them as "in-market."

You get a list of verified, real people. We give you their names, their emails, their phone numbers. These are active buyers who are looking for what you sell.

This data is one of Senova's two flagship products, alongside our managed online ads. It powers every campaign we run for ourselves and for clients — we sell it because we depend on it.

No Black Box

See the Evidence Behind Every Segment

When you ask "how do you know this is intent?" — we show you, URL by URL

Most intent providers hand you a list and ask you to trust the scores. We open the hood. For every promoted segment, you can see the exact domain corpus and the URLs contributing to it — the actual pages people in your audience are reading.

The Domain Corpus, Exposed

Browse the domains and URLs that feed your segment. If a score is built on reviews, comparison pages, and buying guides in your category, you can see each one.

Contribution Percentages

Every domain shows its contribution percentage to the segment — so you know whether a score leans on one strong source or dozens of independent ones.

Buyer-Stage Breakdown

Each segment is broken down by buyer stage — how many people are deciding, evaluating, or just starting to research — so you can route each group correctly.

The Process

How We Build Your Audience

Five simple steps from your idea to a live, verified list

1

You Tell Us Who

Tell us who your ideal customer is. What are they looking for? What problems do they have?

2

We Scan Our Database

We scan our database of 308 million people and over 200 billion behavioral signals.

3

We Find Active Buyers

We find people whose recent behavior shows they are actively interested in what you sell.

4

We Verify Every Person

We triple-check every person with our verification system. We use online data, offline data, and public records.

5

You Get Your List

You get a clean, verified list of real buyers. Audiences refresh every 24 hours at midnight Pacific.

Always Current

Why Daily Refresh Matters

Your audience stays fresh, not stale

Most data companies give you a static list

The moment you get it, the list is already getting old. People stop researching. Their interest fades. You end up calling people who are no longer buyers.

Our audiences rebuild every single night

Promoted segments reprocess and refresh every 24 hours — every night at midnight Pacific time we rebuild your audience from scratch, scanning all 308 million people for fresh signals. Highly niche audiences can take up to 48 hours on the initial build.

Someone who started researching yesterday is on your list today

You get the freshest possible buyers. Not people who researched three weeks ago. People who are researching RIGHT NOW.

Someone who stopped researching is automatically removed

If someone was on your list two weeks ago but stopped researching, they drop off. Your list stays current. Your list stays active. Your list stays real buyers.

Right Message, Right Stage

Route Every Lead by Buyer Stage

A score isn't just a number — it tells you what to do next

Decision · Score 80–100

Direct Outreach

These people are comparing options and close to a choice. Call them, email them, text them — fast. This is where speed wins deals.

Pair with Senova CRM follow-up →
Evaluation

Nurture Sequences

Actively weighing solutions but not ready for a sales call. Put them into permission-based email nurture that answers the questions they're researching.

Run nurture in Senova CRM →
Awareness / Research · Below 70

Display Advertising

Early researchers aren't ready for a call — but they are perfect for display ads that warm them up while they learn, so you're the name they know at decision time.

Warm them with Managed Online Ads →
The Closed Loop

Conversion Sync: Your Wins Retrain the Model

Intent data that learns from what actually closes

When your CRM records a conversion — a qualified booking, a closed-won deal — that outcome feeds back into the scoring model. The system runs a 90-day behavioral lookback on the people who converted and isolates the 7-day window right before they converted.

That pre-conversion window becomes a "conversion fingerprint": the pattern of research behavior your real buyers show just before they buy. The model then automatically rescores your audience — boosting lead scores that match winning fingerprints and lowering the false positives that don't.

In one sample run, rescoring boosted 19% of leads and lowered 71%. That is a single sample run, not a guarantee — your results depend on your conversion volume and market — but it shows the direction: fewer false positives, sharper priorities.

Under the Hood

How Intent Scoring Works

Three deterministic metrics score every URL — no vibes, no guesswork

Lift

How unique is this visit to your target segment versus the general internet? A page everyone reads says nothing. A page only in-market buyers read says a lot.

Cosine

How relevant is the root domain to the topic? Visits on sites that live and breathe your category count for more than incidental mentions elsewhere.

Recency

Only current behavior counts. Research from months ago is a memory, not a buying signal — scores are built from what people are doing right now.

Industry Analysis

The "Billions of Signals" Problem

Why deduplicated domain reach matters more than raw signal counts

Most intent feeds advertise billions of daily signals. Look closer and those billions often deduplicate to a small pool of viable niche domains — the same handful of high-traffic sites, counted over and over. For a niche audience, that skew means the "intent" you're buying may be built on a surprisingly thin slice of the web.

Our system aggregates behavior across a network of 17 million domains. Breadth matters because niche buyers do niche research: the forums, spec sheets, and comparison pages that actually predict a purchase rarely sit on the internet's front page.

Build Methods

Three Ways to Build Audiences

Pick the method that matches your needs

Fastest

Pre-Built Models

We have a large library of ready-made audiences by topic. Pick one and start using it today.

  • A large library of topics ready to go
  • No setup required
  • Start using in minutes
Most Flexible

Keyword Targeting

Pick specific keywords. We find people who are actively researching those exact keywords.

  • Choose your own keywords
  • Get people researching those exact terms
  • Update keywords anytime
Most Precise

Custom Models

We train AI on your exact customer profile using all 200 billion signals. Get the most precise audience possible.

  • AI trained on YOUR customers
  • Uses all 200 billion behavioral signals
  • Highest match quality
Data Points

What You Get in Every Audience

Verified contact data plus behavioral signals

Contact Information

  • Verified name — first and last name, triple-checked
  • Personal email — verified email address
  • Business email — when available
  • Phone number — verified phone, mobile or landline
  • Home address — current mailing address

Professional & Demographic Data

  • Company name — where they work
  • Job title — current role
  • Industry — business sector
  • Income range — estimated household income
  • Homeowner status — own or rent
  • Household data — family size, age ranges
  • LinkedIn profile URL — when available

Behavioral Signals

We show you WHAT each person is researching. You see the exact topics and keywords that triggered their inclusion in your audience.

  • Recent search terms — what they typed into search engines
  • Content topics — what articles and pages they read
  • Research intensity — how much they are searching compared to normal